IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0069586.html
   My bibliography  Save this article

Age-Specific Mortality During the 1918 Influenza Pandemic: Unravelling the Mystery of High Young Adult Mortality

Author

Listed:
  • Alain Gagnon
  • Matthew S Miller
  • Stacey A Hallman
  • Robert Bourbeau
  • D Ann Herring
  • David JD Earn
  • Joaquín Madrenas

Abstract

The worldwide spread of a novel influenza A (H1N1) virus in 2009 showed that influenza remains a significant health threat, even for individuals in the prime of life. This paper focuses on the unusually high young adult mortality observed during the Spanish flu pandemic of 1918. Using historical records from Canada and the U.S., we report a peak of mortality at the exact age of 28 during the pandemic and argue that this increased mortality resulted from an early life exposure to influenza during the previous Russian flu pandemic of 1889–90. We posit that in specific instances, development of immunological memory to an influenza virus strain in early life may lead to a dysregulated immune response to antigenically novel strains encountered in later life, thereby increasing the risk of death. Exposure during critical periods of development could also create holes in the T cell repertoire and impair fetal maturation in general, thereby increasing mortality from infectious diseases later in life. Knowledge of the age-pattern of susceptibility to mortality from influenza could improve crisis management during future influenza pandemics.

Suggested Citation

  • Alain Gagnon & Matthew S Miller & Stacey A Hallman & Robert Bourbeau & D Ann Herring & David JD Earn & Joaquín Madrenas, 2013. "Age-Specific Mortality During the 1918 Influenza Pandemic: Unravelling the Mystery of High Young Adult Mortality," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
  • Handle: RePEc:plo:pone00:0069586
    DOI: 10.1371/journal.pone.0069586
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0069586
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0069586&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0069586?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Justin Lessler & Steven Riley & Jonathan M Read & Shuying Wang & Huachen Zhu & Gavin J D Smith & Yi Guan & Chao Qiang Jiang & Derek A T Cummings, 2012. "Evidence for Antigenic Seniority in Influenza A (H3N2) Antibody Responses in Southern China," PLOS Pathogens, Public Library of Science, vol. 8(7), pages 1-11, July.
    2. Darwyn Kobasa & Steven M. Jones & Kyoko Shinya & John C. Kash & John Copps & Hideki Ebihara & Yasuko Hatta & Jin Hyun Kim & Peter Halfmann & Masato Hatta & Friederike Feldmann & Judie B. Alimonti & Li, 2007. "Aberrant innate immune response in lethal infection of macaques with the 1918 influenza virus," Nature, Nature, vol. 445(7125), pages 319-323, January.
    3. Myrskylä, M. & Mehta, N.K. & Chang, V.W., 2013. "Early life exposure to the 1918 influenza pandemic and old-age mortality by cause of death," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 83-90.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. C. Justin Cook & Jason M. Fletcher & Angela Forgues, 2019. "Multigenerational Effects of Early-Life Health Shocks," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1855-1874, October.
    2. Tim Riffe & Pil H. Chung & Jeroen Spijker & John MacInnes, 2016. "Time-to-death patterns in markers of age and dependency," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 229-254.
    3. Bengtsson, Tommy & Helgertz, Jonas, 2015. "The Long Lasting Influenza: The Impact of Fetal Stress during the 1918 Influenza Pandemic on Socioeconomic Attainment and Health in Sweden 1968-2012," IZA Discussion Papers 9327, Institute of Labor Economics (IZA).
    4. Serratos-Sotelo, L.;, 2019. "Were there long-term economic effects of exposure to Polio Vaccination?: An analysis of migrants to Sweden 1946-2003," Health, Econometrics and Data Group (HEDG) Working Papers 19/19, HEDG, c/o Department of Economics, University of York.
    5. Noghanibehambari, Hamid, 2022. "Intergenerational health effects of Medicaid," Economics & Human Biology, Elsevier, vol. 45(C).
    6. Doran, Áine & Colvin, Christopher L. & McLaughlin, Eoin, 2024. "What can we learn from historical pandemics? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 342(C).
    7. Jonas Helgertz & Tommy Bengtsson, 2019. "The Long-Lasting Influenza: The Impact of Fetal Stress During the 1918 Influenza Pandemic on Socioeconomic Attainment and Health in Sweden, 1968–2012," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1389-1425, August.
    8. Lazuka, Volha, 2017. "The lasting health and income effects of public health formation in Sweden," Lund Papers in Economic History 153, Lund University, Department of Economic History.
    9. Lust, Kersti & Jaadla, Hannaliis, 2024. "Vestiges of famine: Long-term mortality impacts of early-life exposure to the 1840s famine in Estonia," Economics & Human Biology, Elsevier, vol. 54(C).
    10. Hou, Wenxuan & Li, Mao & Main, Brian G.M. & Liu, Xiaofan, 2023. "Pandemics and financial development: A lesson from the 1918 influenza pandemic," Journal of Corporate Finance, Elsevier, vol. 83(C).
    11. Arnstein Aassve & Guido Alfani & Francesco Gandolfi & Marco Le Moglie, 2021. "Epidemics and trust: The case of the Spanish Flu," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 840-857, April.
    12. Alex Huynh & Aaron Bruhn & Bridget Browne, 2013. "A Review of Catastrophic Risks for Life Insurers," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 233-266, September.
    13. Helgertz, Jonas & Nilsson, Anton, 2017. "The Effects of Birth Weight on Hospitalizations and Sickness Absences," Lund Papers in Economic History 157, Lund University, Department of Economic History.
    14. Jonas Helgertz & Anton Nilsson, 2019. "The effect of birth weight on hospitalizations and sickness absences: a longitudinal study of Swedish siblings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(1), pages 153-178, January.
    15. Boberg-Fazlic, Nina & Ivets, Maryna & Karlsson, Martin & Nilsson, Therese, 2021. "Disease and fertility: Evidence from the 1918–19 influenza pandemic in Sweden," Economics & Human Biology, Elsevier, vol. 43(C).
    16. Boberg-Fazlic, Nina & Ivets, Maryna & Karlsson, Martin & Nilsson, Therese, 2017. "Disease and Fertility: Evidence from the 1918 Influenza Pandemic in Sweden," Working Paper Series 1179, Research Institute of Industrial Economics.
    17. Ogasawara, Kota, 2018. "The long-run effects of pandemic influenza on the development of children from elite backgrounds: Evidence from industrializing Japan," Economics & Human Biology, Elsevier, vol. 31(C), pages 125-137.
    18. Brzezinski, Adam & Deiana, Guido & Kecht, Valentin & Van Dijcke, David, 2020. "The COVID-19 Pandemic: Government vs. Community Action Across the United States," INET Oxford Working Papers 2020-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    19. Serratos-Sotelo, Luis & Bengtsson, Tommy & Nilsson, Anton, 2019. "The long-term economic effects of polio: Evidence from the introduction of the polio vaccine to Sweden in 1957," Economics & Human Biology, Elsevier, vol. 35(C), pages 32-41.
    20. Robert C Cope & Joshua V Ross & Monique Chilver & Nigel P Stocks & Lewis Mitchell, 2018. "Characterising seasonal influenza epidemiology using primary care surveillance data," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-21, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0069586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.